This example shows the definition and results for a single analysis, "Comparison of Age by Treatment", including the definitions of the grouping factor and method referenced by the analysis. This example illustrates the use of just the groupingId attribute of the ResultGroup class to associate a result with a grouping factor that does not generate a result for each group in the grouping factor.
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Lines 1-18: | Show the definition of the single subject grouping factors referenced by the analysis: the "Treatment" subject grouping factor, which has 3 groups: "Placebo", "Xanomeline Low Dose", and "Xanomeline High Dose". This grouping factor is not data-driven (dataDriven = false on line 3). | Lines 19-27: | Show the definition of the method referenced by the analysis, "Analysis of variance group comparison for a continuous variable", which has a single operation ("P-value"). | Lines 29-38: | Show the definition of the analysis: - Lines 32-33: Show that this is an analysis of the AGE variable in the ADSL dataset.
- Line 34: Shows the reference to the "Analysis of variance group comparison for a continuous variable" method.
- Lines 35-38: Show the reference to the single grouping factor, which is marked as not producing a result for each group in the grouping factor (resultsByGroup = false, shown on line 37).
| Lines 40-44 | Show the single result for the analysis, represented as an instance of the OperationResult class containing: - The identifier value of the statistical operation performed in the operationId attribute.
- In the resultGroups attribute, a reference to only the grouping factor group associated with the result (indicated by the value of the groupingId attribute). The association to the "Treatment" grouping factor can be used as an indication that this is a treatment-related result.
- The raw result value in the rawValue attribute, and
- In the formattedValue attribute, the result value formatted according to the pattern specified in the resultPattern attribute of the operation referenced by the operationId value. The specified patterns are shown on row 26.
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Code Block |
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title | YAML Example |
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linenumbers | true |
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analysisGroupings:
- id: AnlsGrouping_01_Trt
dataDriven: false
label: Treatment
groupingVariable: TRT01A
groups:
- id: AnlsGrouping_01_Trt_1
label: Placebo
order: 1
...
- id: AnlsGrouping_01_Trt_2
label: Xanomeline Low Dose
order: 2
...
- id: AnlsGrouping_01_Trt_3
label: Xanomeline High Dose
order: 3
...
methods:
- id: Mth04_ContVar_Comp_Anova
name: Analysis of variance group comparison for a continuous variable
operations:
- id: Mth04_ContVar_Comp_Anova_1_pval
name: P-value
label: p-value
resultPattern: X.XXXX
...
analyses:
- id: An03_01_Age_Comp_ByTrt
name: Comparison of Age by Treatment
version: 1
dataset: ADSL
variable: AGE
methodId: Mth04_ContVar_Comp_Anova
orderedGroupings:
- order: 1
resultsByGroup: false
groupingId: AnlsGrouping_01_Trt
results:
- operationId: Mth04_ContVar_Comp_Anova_1_pval
resultGroups:
- groupingId: AnlsGrouping_01_Trt
rawValue: '0.5934357753'
formattedValue: '0.5934'
...
... |
The result for this analysis could be represented in tabular format as shown in the following table:
Dataset2 |
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operationId | groupingId | rawValue | formattedValue |
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Mth04_ContVar_Comp_Anova_1_pval | AnlsGrouping_01_Trt | 0.5934357753 | 0.5934 |
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Alternatively, to aid readability, each of the identifier values could be used to retrieve and include additional descriptive information from the definitions of the operation and grouping factor:
Dataset2 |
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operationId | operation_label | groupingId | grouping_label | rawValue | formattedValue |
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Mth04_ContVar_Comp_Anova_1_pval | p-value | AnlsGrouping_01_Trt | Treatment | 0.5934357753 | 0.5934 |
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